Afnan Afnan

520 total citations
18 papers, 362 citations indexed

About

Afnan Afnan is a scholar working on Molecular Biology, Computer Vision and Pattern Recognition and Plant Science. According to data from OpenAlex, Afnan Afnan has authored 18 papers receiving a total of 362 indexed citations (citations by other indexed papers that have themselves been cited), including 3 papers in Molecular Biology, 3 papers in Computer Vision and Pattern Recognition and 3 papers in Plant Science. Recurrent topics in Afnan Afnan's work include Machine Learning in Bioinformatics (2 papers), vaccines and immunoinformatics approaches (2 papers) and RNA and protein synthesis mechanisms (2 papers). Afnan Afnan is often cited by papers focused on Machine Learning in Bioinformatics (2 papers), vaccines and immunoinformatics approaches (2 papers) and RNA and protein synthesis mechanisms (2 papers). Afnan Afnan collaborates with scholars based in South Korea, Pakistan and Indonesia. Afnan Afnan's co-authors include Noman Khan, Mi Young Lee, Sung Wook Baik, Fath U Min Ullah, Amin Ullah, Muhammad Furqan Akhtar, Ammara Saleem, Domenico Mazzeo, Maria Grazia De Giorgi and Paolo Maria Congedo and has published in prestigious journals such as PLoS ONE, International Journal of Hydrogen Energy and IEEE Access.

In The Last Decade

Afnan Afnan

13 papers receiving 346 citations

Peers

Afnan Afnan
Wooyoung Jeon South Korea
Afnan Afnan
Citations per year, relative to Afnan Afnan Afnan Afnan (= 1×) peers Wooyoung Jeon

Countries citing papers authored by Afnan Afnan

Since Specialization
Citations

This map shows the geographic impact of Afnan Afnan's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Afnan Afnan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Afnan Afnan more than expected).

Fields of papers citing papers by Afnan Afnan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Afnan Afnan. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Afnan Afnan. The network helps show where Afnan Afnan may publish in the future.

Co-authorship network of co-authors of Afnan Afnan

This figure shows the co-authorship network connecting the top 25 collaborators of Afnan Afnan. A scholar is included among the top collaborators of Afnan Afnan based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Afnan Afnan. Afnan Afnan is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

18 of 18 papers shown
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Jamil, Sonain, et al.. (2023). A Novel Multimedia Player for International Standard—JPEG Snack. Journal of Imaging. 9(3). 58–58.
4.
Afnan, Afnan, et al.. (2023). Subjective Assessment of Objective Image Quality Metrics Range Guaranteeing Visually Lossless Compression. Sensors. 23(3). 1297–1297. 7 indexed citations
5.
Afnan, Afnan, Ammara Saleem, & Muhammad Furqan Akhtar. (2023). Chrysin, a 5,7-dihydroxyflavone restrains inflammatory arthritis in rats via subsiding oxidative stress biomarkers and inflammatory cytokines. Inflammopharmacology. 31(4). 1863–1878. 10 indexed citations
6.
Herdem, Münür Sacit, Domenico Mazzeo, Nicoletta Matera, et al.. (2023). A brief overview of solar and wind-based green hydrogen production systems: Trends and standardization. International Journal of Hydrogen Energy. 51. 340–353. 81 indexed citations
7.
Afnan, Afnan, Ammara Saleem, Muhammad Furqan Akhtar, et al.. (2022). Anticancer, Cardio-Protective and Anti-Inflammatory Potential of Natural-Sources-Derived Phenolic Acids. Molecules. 27(21). 7286–7286. 80 indexed citations
8.
Elbashir, Murtada K., et al.. (2022). A novel deep learning-assisted hybrid network for plasmodium falciparum parasite mitochondrial proteins classification. PLoS ONE. 17(10). e0275195–e0275195. 4 indexed citations
9.
Afnan, Afnan, et al.. (2022). To Assist Oncologists: An Efficient Machine Learning-Based Approach for Anti-Cancer Peptides Classification. Sensors. 22(11). 4005–4005. 18 indexed citations
10.
Afnan, Afnan, Khan Muhammad, Noman Khan, et al.. (2021). School of the Future: A Comprehensive Study on the Effectiveness of Augmented Reality as a Tool for Primary School Children’s Education. Applied Sciences. 11(11). 5277–5277. 53 indexed citations
12.
Khan, Noman, Fath U Min Ullah, Afnan Afnan, et al.. (2020). Batteries State of Health Estimation via Efficient Neural Networks With Multiple Channel Charging Profiles. IEEE Access. 9. 7797–7813. 76 indexed citations
14.
Afnan, Afnan, et al.. (2020). HUBUNGAN EFIKASI DIRI DENGAN STRESS PADA MAHASISWA YANG BERADA DALAM FASE QUARTER LIFE CRISIS. 3(1). 23–29. 21 indexed citations
15.
Afnan, Afnan & C. Ranganathan. (2015). Factors Associated with EHR User Satisfaction in Small Clinic Settings. International Conference on Information Systems. 1 indexed citations
16.
Afnan, Afnan & C. Ranganathan. (2013). Development of a Change Readiness Scale for Electronic Medical Record Systems Implementation at Hospitals. Journal of the Association for Information Systems. 1 indexed citations
17.
Ranganathan, C. R. & Afnan Afnan. (2012). Effective Implementation of Electronic Medical Record Systems: Insights from a Longitudinal Case Study. Americas Conference on Information Systems. 1 indexed citations
18.
Burke, Adam & Afnan Afnan. (2005). Aceh : Reconstruction in a conflict environment : views from civil society, donors and NGOs. 1–62. 9 indexed citations

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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